2025-11-07 –, Room 340
Contributing to Apache Pinot not only honed my technical skills but also provided me with invaluable opportunities to work on a large-scale, real-world project in the workplace. In this talk, I’ll share my journey - from the initial steps of contributing to Apache Pinot to the challenges and triumphs that came along the way. I’ll discuss how open-source work accelerated my growth as a developer, taught me best practices for collaboration, and opened doors for unique career opportunities. If you're considering getting involved in open-source, I’ll offer practical advice on how to get started and the immense benefits it brings to your career.
I began contributing to Apache Pinot almost a year ago. Over time, this experience not only transformed my technical abilities but also had a profound impact on my career. As I worked on performance optimizations, bug fixes, and new feature implementations, I gained insights into large-scale distributed systems that I later applied to projects in my full-time job. The challenges I faced working on Pinot sharpened my problem-solving skills and taught me how to write more efficient, maintainable code.
Moreover, contributing to Pinot helped me build a network of like-minded developers and open-source enthusiasts. The collaboration within the project exposed me to new tools, technologies, and workflows that helped shape my professional development. I was able to leverage these skills in my workplace, and my contributions to Pinot became a point of pride that impressed my colleagues and opened new opportunities for growth.
Through this talk, I want to emphasize the career-boosting potential of open-source contributions and provide a roadmap for those looking to get involved in meaningful projects like Apache Pinot. Open-source work isn't just about writing code; it's about community, learning, and accelerating your career in ways that wouldn’t be possible otherwise.
https://github.com/apache/pinot/commits/master/?author=ashishjayamohan
Ashish Jayamohan is a current contributor on Apache Pinot. Ashish was formerly an undergraduate student at UC San Diego and is now working on databases, systems, and machine learning. Ashish is specifically interested in autotuning and optimization.
@ashishjayamohan